Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

"Works on the free plan too" adds genuine gating context the annotations do not carry, which is useful for an agent deciding whether the call will fail on a paid-tier check. However, with readOnlyHint=false and openWorldHint=false declared, the description still doesn't state where the submission goes, whether the user is identified, or whether repeated calls create duplicates (idempotentHint=false is declared but unexplained).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the decision criterion, and no filler. The trailing "works on the free plan" clause is slightly orphaned without naming what the paid plan implies, but it is not wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-parameter, non-idempotent mutation with no output schema and no parameter documentation, the description covers only the trigger and one availability note. It leaves undefined what the call returns (confirmation, tracking reference) and how the free-text fields should be shaped, which is a meaningful gap for a tool the agent must construct content for.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so all four parameters (type, title, description, context) depend on the description for meaning, and it says nothing about any of them. The agent must guess that title is a short summary, that description is the body, and that context is optional supplementary detail — none of which is stated anywhere.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource (feedback routed to the WhatsApp MCP developers) and the three triggering situations that map onto the enum values. It is clearly distinguishable from every sibling tool, none of which deal with developer feedback, though it phrases purpose as a usage trigger rather than a direct verb+resource statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives explicit triggering conditions — user reports a bug, requests a feature, or wants to contact the developers — which an agent can match against conversation intent without inference. There are no exclusions or named alternatives, but no sibling tool could plausibly be confused with this one.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.